Data Engineer

4 days ago

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Ecommerce • AI • Machine Learning

51 - 200

💰 Seed Round on 2017-01

Description

• Working experience in data integration and pipeline development.

Requirements

• 3+ years of relevant experience with AWS Cloud on data integration with Databricks, Apache Spark, EMR, Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS, MongoDB/DynamoDB ecosystems. • Strong real-life experience in python development, especially in pySpark, in the AWS Cloud environment. • Design, develop, test, deploy, maintain and improve data integration pipeline. • Experience in Python and common python libraries. • Strong analytical experience with the database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc. • Strong experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.

Benefits

• You'll get to work in one of the hottest & fastest-growing retail technologies in Europe right now. • You'll get paid a competitive salary & be working directly with a super-experienced team of people. • You'll get a great place to come to work every day. • Varied, complex, challenging & with a great culture that you can shape & change. • Group Health Insurance